Authors: Todorović, Branimir
Stanković, Miomir 
Title: Sequential growing and pruning of radial basis function network
Journal: Proceedings of the International Joint Conference on Neural Networks
Volume: 3
First page: 1954
Last page: 1959
Conference: International Joint Conference on Neural Networks (IJCNN'01); Washington, DC; United States; 15 July 2001 through 19 July 2001
Issue Date: 1-Jan-2001
In this paper, we propose an algorithm for sequential structure adaptation of Radial Basis Function (RBF) network. Our main goal is to obtain the model of the unknown time varying nonlinear mapping. Both parameter and structure adaptation are incorporated into the framework of extended Kalman filter. Two approaches: construction (growing) and pruning are combined during adaptation of RBF network structure. The examples of nonstationary nonlinear dynamical system modeling are presented to illustrate the proposed algorithm.
Publisher: 10.1109/IJCNN.2001.938463

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